{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Pima Indians Diabetes Data Set数据探索\n",
    "\n",
    "数据说明：\n",
    "Pima Indians Diabetes Data Set（皮马印第安人糖尿病数据集） 根据现有的医疗信息预测5年内皮马印第安人糖尿病发作的概率。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. import 工具包"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#首先 import 必要的模块\n",
    "import numpy as np\n",
    "import pandas as pd \n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. 读取数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Pregnancies</th>\n",
       "      <th>Glucose</th>\n",
       "      <th>BloodPressure</th>\n",
       "      <th>SkinThickness</th>\n",
       "      <th>Insulin</th>\n",
       "      <th>BMI</th>\n",
       "      <th>DiabetesPedigreeFunction</th>\n",
       "      <th>Age</th>\n",
       "      <th>Outcome</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6</td>\n",
       "      <td>148</td>\n",
       "      <td>72</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>33.6</td>\n",
       "      <td>0.627</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>85</td>\n",
       "      <td>66</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>26.6</td>\n",
       "      <td>0.351</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8</td>\n",
       "      <td>183</td>\n",
       "      <td>64</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>23.3</td>\n",
       "      <td>0.672</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>89</td>\n",
       "      <td>66</td>\n",
       "      <td>23</td>\n",
       "      <td>94</td>\n",
       "      <td>28.1</td>\n",
       "      <td>0.167</td>\n",
       "      <td>21</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>137</td>\n",
       "      <td>40</td>\n",
       "      <td>35</td>\n",
       "      <td>168</td>\n",
       "      <td>43.1</td>\n",
       "      <td>2.288</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>116</td>\n",
       "      <td>74</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25.6</td>\n",
       "      <td>0.201</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>3</td>\n",
       "      <td>78</td>\n",
       "      <td>50</td>\n",
       "      <td>32</td>\n",
       "      <td>88</td>\n",
       "      <td>31.0</td>\n",
       "      <td>0.248</td>\n",
       "      <td>26</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>10</td>\n",
       "      <td>115</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>35.3</td>\n",
       "      <td>0.134</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2</td>\n",
       "      <td>197</td>\n",
       "      <td>70</td>\n",
       "      <td>45</td>\n",
       "      <td>543</td>\n",
       "      <td>30.5</td>\n",
       "      <td>0.158</td>\n",
       "      <td>53</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>8</td>\n",
       "      <td>125</td>\n",
       "      <td>96</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.232</td>\n",
       "      <td>54</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Pregnancies  Glucose  BloodPressure  SkinThickness  Insulin   BMI  \\\n",
       "0            6      148             72             35        0  33.6   \n",
       "1            1       85             66             29        0  26.6   \n",
       "2            8      183             64              0        0  23.3   \n",
       "3            1       89             66             23       94  28.1   \n",
       "4            0      137             40             35      168  43.1   \n",
       "5            5      116             74              0        0  25.6   \n",
       "6            3       78             50             32       88  31.0   \n",
       "7           10      115              0              0        0  35.3   \n",
       "8            2      197             70             45      543  30.5   \n",
       "9            8      125             96              0        0   0.0   \n",
       "\n",
       "   DiabetesPedigreeFunction  Age  Outcome  \n",
       "0                     0.627   50        1  \n",
       "1                     0.351   31        0  \n",
       "2                     0.672   32        1  \n",
       "3                     0.167   21        0  \n",
       "4                     2.288   33        1  \n",
       "5                     0.201   30        0  \n",
       "6                     0.248   26        1  \n",
       "7                     0.134   29        0  \n",
       "8                     0.158   53        1  \n",
       "9                     0.232   54        1  "
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_path = 'D:\\DeepLearning_Dataset\\PIMA-indians\\pima-indians-diabetes .csv'\n",
    "train = pd.read_csv(data_path)\n",
    "train.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 768 entries, 0 to 767\n",
      "Data columns (total 9 columns):\n",
      "Pregnancies                 768 non-null int64\n",
      "Glucose                     768 non-null int64\n",
      "BloodPressure               768 non-null int64\n",
      "SkinThickness               768 non-null int64\n",
      "Insulin                     768 non-null int64\n",
      "BMI                         768 non-null float64\n",
      "DiabetesPedigreeFunction    768 non-null float64\n",
      "Age                         768 non-null int64\n",
      "Outcome                     768 non-null int64\n",
      "dtypes: float64(2), int64(7)\n",
      "memory usage: 54.1 KB\n"
     ]
    }
   ],
   "source": [
    "#查看数据基本信息\n",
    "train.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "数据集共9个字段:<br/> \n",
    "0列为Pregnancies（怀孕次数）<br/>\n",
    "1列为Glucose（口服葡萄糖耐量试验中2小时后的血浆葡萄糖浓度）<br/>\n",
    "2列为BloodPressure（舒张压,单位:mm Hg）<br/>\n",
    "3列为SkinThickness（三头肌皮褶厚度,单位：mm）<br/>\n",
    "4列为Insulin（餐后血清胰岛素,单位:mm）<br/>\n",
    "5列为BMI,体重指数（体重（公斤）/ 身高（米）^2）<br/>\n",
    "6列为DiabetesPedigreeFunction（糖尿病家系作用）<br/>\n",
    "7列为Age（年龄）<br/>\n",
    "8列为Outcome（分类变量,0或1）<br/>\n",
    "\n",
    "该数据集已知存在缺失值，某些列中存在的缺失值被标记为0。通过这些列中指标的定义和相应领域的常识可以证实上述观点，<br/>\n",
    "比如体重指数和血压两列中的0作为指标数值来说是无意义的。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Pregnancies</th>\n",
       "      <th>Glucose</th>\n",
       "      <th>BloodPressure</th>\n",
       "      <th>SkinThickness</th>\n",
       "      <th>Insulin</th>\n",
       "      <th>BMI</th>\n",
       "      <th>DiabetesPedigreeFunction</th>\n",
       "      <th>Age</th>\n",
       "      <th>Outcome</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.845052</td>\n",
       "      <td>120.894531</td>\n",
       "      <td>69.105469</td>\n",
       "      <td>20.536458</td>\n",
       "      <td>79.799479</td>\n",
       "      <td>31.992578</td>\n",
       "      <td>0.471876</td>\n",
       "      <td>33.240885</td>\n",
       "      <td>0.348958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>3.369578</td>\n",
       "      <td>31.972618</td>\n",
       "      <td>19.355807</td>\n",
       "      <td>15.952218</td>\n",
       "      <td>115.244002</td>\n",
       "      <td>7.884160</td>\n",
       "      <td>0.331329</td>\n",
       "      <td>11.760232</td>\n",
       "      <td>0.476951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.078000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>27.300000</td>\n",
       "      <td>0.243750</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>117.000000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>30.500000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>0.372500</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>6.000000</td>\n",
       "      <td>140.250000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>127.250000</td>\n",
       "      <td>36.600000</td>\n",
       "      <td>0.626250</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>17.000000</td>\n",
       "      <td>199.000000</td>\n",
       "      <td>122.000000</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>846.000000</td>\n",
       "      <td>67.100000</td>\n",
       "      <td>2.420000</td>\n",
       "      <td>81.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Pregnancies     Glucose  BloodPressure  SkinThickness     Insulin  \\\n",
       "count   768.000000  768.000000     768.000000     768.000000  768.000000   \n",
       "mean      3.845052  120.894531      69.105469      20.536458   79.799479   \n",
       "std       3.369578   31.972618      19.355807      15.952218  115.244002   \n",
       "min       0.000000    0.000000       0.000000       0.000000    0.000000   \n",
       "25%       1.000000   99.000000      62.000000       0.000000    0.000000   \n",
       "50%       3.000000  117.000000      72.000000      23.000000   30.500000   \n",
       "75%       6.000000  140.250000      80.000000      32.000000  127.250000   \n",
       "max      17.000000  199.000000     122.000000      99.000000  846.000000   \n",
       "\n",
       "              BMI  DiabetesPedigreeFunction         Age     Outcome  \n",
       "count  768.000000                768.000000  768.000000  768.000000  \n",
       "mean    31.992578                  0.471876   33.240885    0.348958  \n",
       "std      7.884160                  0.331329   11.760232    0.476951  \n",
       "min      0.000000                  0.078000   21.000000    0.000000  \n",
       "25%     27.300000                  0.243750   24.000000    0.000000  \n",
       "50%     32.000000                  0.372500   29.000000    0.000000  \n",
       "75%     36.600000                  0.626250   41.000000    1.000000  \n",
       "max     67.100000                  2.420000   81.000000    1.000000  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#查看数值型特征的基本统计量\n",
    "train.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "从结果中我们可以看到很多列的最小值为0。而在一些特定列代表的变量中，0值并没有意义，这就表名该值无效或为缺失值。\n",
    "\n",
    "具体来说，下列变量的最小值为0时数据无意义：<br/>\n",
    "1、血浆葡萄糖浓度<br/>\n",
    "2、舒张压<br/>\n",
    "3、肱三头肌皮褶厚度<br/>\n",
    "4、餐后血清胰岛素<br/>\n",
    "5、体重指数"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. 查看每个变量的分布 及其与标签之间的关系"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 预测目标Outcome"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of occurrences')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#该问题为分类问题，类别型特征直方图可用countplot\n",
    "sns.countplot(train['Outcome'])\n",
    "plt.xlabel('Diabetes')\n",
    "plt.ylabel('Number of occurrences')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 怀孕次数Pregnancies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of occurrences')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(train['Pregnancies'])\n",
    "plt.xlabel('Number of pregnant')\n",
    "plt.ylabel('Number of occurrences')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "怀孕次数有十几次的？（在疾病判断案例中，异常值可能就意味着得病，因此不能删除）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x21c43cf05c8>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYUAAAEGCAYAAACKB4k+AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8li6FKAAAaW0lEQVR4nO3de5hU9Z3n8fdHQNt7RBoGbRxAiVECKHQSlIy5oNE4CiarWX1QQXTYuLISjRqyzpPETHTMkujoJmaHjRcwBMdrdJwnBAODmcloCCDITcWJCI3ITTfGoALNd/84h2OJTVNdVV1VVH1ez1NPnUudb32ru6q+9fudc35HEYGZmRnAfpVOwMzMqoeLgpmZZVwUzMws46JgZmYZFwUzM8t0rXQCxejRo0f07du30mmYme1TFi5cuDkiGttat08Xhb59+7JgwYJKp2Fmtk+R9Oqe1rn7yMzMMi4KZmaWcVEwM7PMPr1Pwayjtm/fTktLC++++26lUymJhoYGmpqa6NatW6VTsRrhomB1paWlhUMPPZS+ffsiqdLpFCUi2LJlCy0tLfTr16/S6ViNcPeR1ZV3332XI488cp8vCACSOPLII2um1WPVwUXB6k4tFIRdaum1WHVwUTAzs4yLghnJvobRo0czYMAAjj32WCZNmsS2bdva3eaWW24pU3Zm5aN9+SI7zc3N0RlnNA+7fnq76xdOubTkz2nlsXLlSk444YQPLIsIPvWpT3HllVdy2WWX0drayoQJE+jevTtTpkzZY6xDDjmEt99+u7NT3qu2XpNZeyQtjIjmtta5pWB1b+7cuTQ0NHDZZZcB0KVLF26//Xbuuece7rrrLiZOnJg99pxzzmHevHlMnjyZd955h5NOOokxY8YAMH36dAYPHsyQIUO45JJLAHj11VcZOXIkgwcPZuTIkaxZswaAcePGceWVV/K5z32O/v378/TTTzN+/HhOOOEExo0blz3f7NmzOeWUUxg6dCgXXHBBVRQhq20uClb3li9fzrBhwz6w7LDDDuOYY45hx44dbW5z6623cuCBB7J48WJmzJjB8uXLufnmm5k7dy5LlizhjjvuAGDixIlceumlPP/884wZM4arr746i/Hmm28yd+5cbr/9ds4991yuueYali9fztKlS1m8eDGbN2/me9/7Hr/+9a9ZtGgRzc3N3HbbbZ33hzDD5ymYERFtHsWzp+VtmTt3Lueffz49evQAoHv37gA888wzPProowBccskl3HDDDdk25557LpIYNGgQvXr1YtCgQQAMHDiQ1atX09LSwooVKxgxYgQA27Zt45RTTin8hZrlwUXB6t7AgQN55JFHPrDsrbfeYu3atRx++OHs3LkzW76ncwLyLSC5jznggAMA2G+//bLpXfM7duygS5cunHHGGcycObNDr8esGO4+sro3cuRItm7dyvTpyQEGra2tfP3rX2fcuHH079+fxYsXs3PnTtauXcv8+fOz7bp168b27duzGA8++CBbtmwB4I033gDg1FNP5YEHHgBgxowZfPrTn847r+HDh/Pb3/6Wl19+GYCtW7fy0ksvFf+CzdrhomB1TxKPPfYYDz30EAMGDOCjH/0oDQ0N3HLLLYwYMYJ+/foxaNAgrrvuOoYOHZptN2HCBAYPHsyYMWMYOHAgN954I5/5zGcYMmQI1157LQB33nkn9957L4MHD+b+++/P9jXko7Gxkfvuu4+LLrqIwYMHM3z4cF544YWSv36zXD4ktQ0+JLV21eLhm7X4mqxzVeSQVEn3SNooaVnOsu6SnpK0Kr0/ImfdNyW9LOlFSWd2Vl5mZrZnndl9dB9w1m7LJgNzImIAMCedR9KJwIXAwHSbuyR16cTczMysDZ1WFCLiN8Abuy0eDUxLp6cB5+UsfyAi3ouIV4CXgU92Vm5mZta2cu9o7hUR6wHS+57p8qOBtTmPa0mXfYikCZIWSFqwadOmTk3WzKzeVMvRR20d4N3mHvCImBoRzRHR3NjY2MlpmZnVl3IXhQ2SegOk9xvT5S1An5zHNQGvlTk3M7O6V+4zmp8AxgK3pveP5yz/uaTbgKOAAcD8NiOYlcHeDkvuqHwOY541axaTJk2itbWVK664gsmTJ5c0B7N8dOYhqTOBZ4DjJbVIupykGJwhaRVwRjpPRCwHHgRWALOAqyKitbNyM6s2ra2tXHXVVfzyl79kxYoVzJw5kxUrVlQ6LatDndZSiIiL9rBq5B4efzNwc2flY1bN5s+fz3HHHUf//v0BuPDCC3n88cc58cQTK5yZ1Ztq2dFsVtfWrVtHnz7v71Zrampi3bp1FczI6pWLglkVaGu4mXyH7TYrJRcFsyrQ1NTE2rXvn6rT0tLCUUcdVcGMrF65KJhVgU984hOsWrWKV155hW3btvHAAw8watSoSqdldcgX2TFrQ7lHwu3atSs/+tGPOPPMM2ltbWX8+PEMHDiwrDmYgYuCWdU4++yzOfvssyudhtU5dx+ZmVnGRcHMzDIuCmZmlnFRMDOzjIuCmZllXBTMzCzjQ1LN2rDmu4NKGu+Yby3d62PGjx/Pk08+Sc+ePVm2bFlJn98sX24pmFWJcePGMWvWrEqnYXXORcGsSpx22ml079690mlYnXNRMDOzjIuCmZllXBTMzCzjomBmZhkfkmrWhnwOIS21iy66iHnz5rF582aampq46aabuPzyy8ueh9U3FwWzKjFz5sxKp2Dm7iMzM3ufi4KZmWVcFKzuRESlUyiZWnotVh1cFKyuNDQ0sGXLlpr4Mo0ItmzZQkNDQ6VTsRriHc1WV5qammhpaWHTpk2VTqUkGhoaaGpqqnQaVkNcFMpg2PXT212/cMqlZcrEunXrRr9+/SqdhlnVcveRmZllXBTMzCzjomBmZpmKFAVJ10haLmmZpJmSGiR1l/SUpFXp/RGVyM3MrJ6VvShIOhq4GmiOiI8DXYALgcnAnIgYAMxJ583MrIwq1X3UFThQUlfgIOA1YDQwLV0/DTivQrmZmdWtsheFiFgH/ABYA6wH/hgRs4FeEbE+fcx6oGe5czMzq3eV6D46gqRV0A84CjhY0sUd2H6CpAWSFtTKCUhmZtWiEt1HpwOvRMSmiNgOPAqcCmyQ1Bsgvd/Y1sYRMTUimiOiubGxsWxJm5nVg0oUhTXAcEkHSRIwElgJPAGMTR8zFni8ArmZmdW1sg9zERG/k/QwsAjYATwHTAUOAR6UdDlJ4big3LmZmdW7iox9FBHfBr692+L3SFoNZmZWIT6j2czMMi4KZmaWcVEwM7OMi4KZmWVcFMzMLOOiYGZmGRcFMzPLuCiYmVmmIievldqw66e3u37hlEvLlImZ2b7NLQUzM8u4KJiZWcZFwczMMi4KZmaWcVEwM7OMi4KZmWVcFMzMLOOiYGZmGRcFMzPLuCiYmVnGRcHMzDIuCmZmlnFRMDOzjIuCmZllXBTMzCzjomBmZhkXBTMzy7gomJlZxkXBzMwyLgpmZpZxUTAzs0xFioKkj0h6WNILklZKOkVSd0lPSVqV3h9RidzMzOpZXkVB0px8lnXAHcCsiPgYMARYCUwG5kTEAGBOOm9mZmXUtb2VkhqAg4Ae6S93pasOA44q5AklHQacBowDiIhtwDZJo4HPpg+bBswDvlHIc5iZWWHaLQrAfwO+RlIAFvJ+UXgL+HGBz9kf2ATcK2lIGncS0Csi1gNExHpJPQuMb2ZmBWq3+ygi7oiIfsB1EdE/IvqltyER8aMCn7MrMBT4SUScDPyZDnQVSZogaYGkBZs2bSowBTMza8veWgoARMT/lnQq0Dd3m4iYXsBztgAtEfG7dP5hkqKwQVLvtJXQG9i4h1ymAlMBmpubo4DnNzOzPcirKEi6HzgWWAy0posD6HBRiIjXJa2VdHxEvAiMBFakt7HAren94x2NbWZmxcmrKADNwIkRUapf5v8DmCFpf+APwGUkXVkPSrocWANcUKLnMjOzPOVbFJYBfwGsL8WTRsRikkKzu5GliG9mZoXJtyj0AFZImg+8t2thRIzqlKzMzKwi8i0K3+nMJMzMrDrke/TR052diJmZVV6+Rx/9ieRoI4D9gW7AnyPisM5KzMzMyi/flsKhufOSzgM+2SkZmZlZxRQ0SmpE/AL4fIlzMTOzCsu3++jLObP7kRxO6rOJzcxqTL5HH52bM70DWA2MLnk2ZmZWUfnuU7issxMxM7PKy/ciO02SHpO0UdIGSY9Iaurs5MzMrLzy3dF8L/AEyXUVjgb+OV1mZmY1JN+i0BgR90bEjvR2H9DYiXmZmVkF5FsUNku6WFKX9HYxsKUzEzMzs/LLtyiMB74CvE4yUur5JMNdm5lZDcn3kNS/A8ZGxJsAkroDPyApFmZmViPybSkM3lUQACLiDeDkzknJzMwqJd+isJ+kI3bNpC2FfFsZZma2j8j3i/2HwH9IephkeIuvADd3WlZmZlYR+Z7RPF3SApJB8AR8OSJWdGpm1qZh109vd/3CKZeWKRMzq0V5dwGlRcCFwMyshhU0dLaZmdUmFwUzM8u4KJiZWcZFwczMMj7XoM75aCYzy+WWgpmZZVwUzMws46JgZmYZFwUzM8u4KJiZWaZiRSG9gttzkp5M57tLekrSqvT+iL3FMDOz0qpkS2ESsDJnfjIwJyIGAHPSeTMzK6OKFAVJTcBfAz/NWTwamJZOTwPOK3deZmb1rlIthX8AbgB25izrFRHrAdL7npVIzMysnpW9KEg6B9gYEQsL3H6CpAWSFmzatKnE2ZmZ1bdKtBRGAKMkrQYeAD4v6WfABkm9AdL7jW1tHBFTI6I5IpobGxvLlbOZWV0oe1GIiG9GRFNE9AUuBOZGxMXAE8DY9GFjgcfLnZuZWb2rpvMUbgXOkLQKOCOdNzOzMqroKKkRMQ+Yl05vAUZ2xvOs+e6gdtcf862lnfG0Zmb7nGpqKZiZWYW5KJiZWcYX2bGS8kV7zPZtbimYmVnGRcHMzDIuCmZmlvE+Bata3j9hVn5uKZiZWcZFwczMMi4KZmaWcVEwM7OMi4KZmWVcFMzMLOOiYGZmGRcFMzPLuCiYmVnGZzQXwBftMbNa5ZaCmZllXBTMzCzjomBmZhnvU6gx3t9hZsVwS8HMzDIuCmZmlnFRMDOzjPcpmKW8P8bMLQUzM8vhomBmZhkXBTMzy3ifgrXL/exm9cUtBTMzy7ilYNZJ3MqyfVHZWwqS+kj6V0krJS2XNCld3l3SU5JWpfdHlDs3M7N6V4mWwg7g6xGxSNKhwEJJTwHjgDkRcaukycBk4BsVyM86kX89m1W3srcUImJ9RCxKp/8ErASOBkYD09KHTQPOK3duZmb1rqL7FCT1BU4Gfgf0ioj1kBQOST33sM0EYALAMcccU55ErSYMu356u+sfO7RMiZhVsYodfSTpEOAR4GsR8Va+20XE1IhojojmxsbGzkvQzKwOVaSlIKkbSUGYERGPpos3SOqdthJ6AxsrkVsltNfP7j52MyunShx9JOBuYGVE3Jaz6glgbDo9Fni83LmZmdW7SrQURgCXAEslLU6X/U/gVuBBSZcDa4ALKpCbWVXyUVtWLmUvChHx74D2sHpkOXMxM7MP8jAXZmaWcVEwM7OMxz6yfVal+9l93oPVIrcUzMws46JgZmYZdx+Z1aC9dW0tnHJpmTKxfY1bCmZmlnFRMDOzjIuCmZllXBTMzCzjomBmZhkXBTMzy7gomJlZxucpmFWJ9s4tKPWQGZUeIsSql1sKZmaWcVEwM7OMi4KZmWVcFMzMLOOiYGZmGR99ZGZF89FMtcMtBTMzy7gomJlZxkXBzMwy3qdgZmVXyivD7S3WY4dOaXe993d8kFsKZmaWcUvBzPZq77/GS/t87R3N5F/2ncstBTMzy7gomJlZxkXBzMwy3qdgZtYBtX72dtW1FCSdJelFSS9LmlzpfMzM6klVtRQkdQF+DJwBtAC/l/RERKyobGZmZp2jlEdalaIVU20thU8CL0fEHyJiG/AAMLrCOZmZ1Q1FRKVzyEg6HzgrIq5I5y8BPhURE3MeMwGYkM4eD7yYR+gewOYSplrN8ao5t1LHq+bcSh2vmnOr9njVnFup4+Ub6y8jorGtFVXVfQSojWUfqFoRMRWY2qGg0oKIaC4msX0lXjXnVup41ZxbqeNVc27VHq+acyt1vFLEqrbuoxagT858E/BahXIxM6s71VYUfg8MkNRP0v7AhcATFc7JzKxuVFX3UUTskDQR+BXQBbgnIpaXIHSHupv28XjVnFup41VzbqWOV825VXu8as6t1PGKjlVVO5rNzKyyqq37yMzMKshFwczMMjVfFEo5bIakeyRtlLSsBHn1kfSvklZKWi5pUpHxGiTNl7QkjXdTCXLsIuk5SU+WINZqSUslLZa0oATxPiLpYUkvpH/DU4qIdXya167bW5K+VkS8a9L/wTJJMyU1FBorjTcpjbW8kLzaet9K6i7pKUmr0vsjiox3QZrfTkl5HxK5h1hT0v/r85Iek/SRIuP9XRprsaTZko4qJl7OuuskhaQeReT2HUnrct57ZxeTm6R/yom1WtLifONlIqJmbyQ7q/8T6A/sDywBTiwi3mnAUGBZCXLrDQxNpw8FXioyNwGHpNPdgN8Bw4vM8Vrg58CTJXi9q4EeJfzfTgOuSKf3Bz5SwvfM6yQn9xSy/dHAK8CB6fyDwLgi8vk4sAw4iOTAkF8DAzoY40PvW+B/AZPT6cnA94uMdwLJyaTzgOYiY30B6JpOf78EuR2WM3018H+KiZcu70NyQMyr+b6v95Dbd4DrCnxvtPt9BPwQ+FZH49Z6S6Gkw2ZExG+AN0qRWESsj4hF6fSfgJUkXyiFxouIeDud7ZbeCj6KQFIT8NfATwuN0VkkHUbygbgbICK2RcT/K1H4kcB/RsSrRcToChwoqSvJl3kx59qcADwbEVsjYgfwNPCljgTYw/t2NElhJb0/r5h4EbEyIvIZXSCfWLPT1wrwLMn5SsXEeytn9mA68Llo5zN/O3BDiWIVpL14kgR8BZjZ0bi1XhSOBtbmzLdQxBdvZ5HUFziZ5Nd9MXG6pM3FjcBTEVFMvH8gedPvLCanHAHMlrQwHaqkGP2BTcC9affWTyUdXHyKQHJuTIc/SLtExDrgB8AaYD3wx4iYXUQ+y4DTJB0p6SDgbD54gmehekXEekh+oAA9SxCzM4wHfllsEEk3S1oLjAG+VWSsUcC6iFhSbF6piWn31j0d6cbbi78CNkTEqo5uWOtFYa/DZlSapEOAR4Cv7faLpsMiojUiTiL5ZfVJSR8vMKdzgI0RsbCYfHYzIiKGAl8ErpJ0WhGxupI0m38SEScDfybpAilKesLkKOChImIcQfIrvB9wFHCwpIsLjRcRK0m6UJ4CZpF0ge5od6MaIelGktc6o9hYEXFjRPRJY03c2+Pbyekg4EaKLCw5fgIcC5xE8iPihyWKexEF/rip9aJQ1cNmSOpGUhBmRMSjpYqbdqXMA84qMMQIYJSk1SRdbp+X9LMic3otvd8IPEbStVeoFqAlpyX0MEmRKNYXgUURsaGIGKcDr0TEpojYDjwKnFpMUhFxd0QMjYjTSLoLOvzrrw0bJPUGSO83liBmyUgaC5wDjIm0g7xEfg78lyK2P5ak4C9JPx9NwCJJf1FIsIjYkP6Y2wn8X4r7XACQdlt+GfinQrav9aJQtcNmpH1+dwMrI+K2EsRr3HWUhqQDSb6cXigkVkR8MyKaIqIvyd9sbkQU/GtX0sGSDt01TbIjseAjuCLidWCtpOPTRSOBUlxzo+BfVznWAMMlHZT+j0eS7C8qmKSe6f0xJB/2YnOE5HMwNp0eCzxegpglIeks4BvAqIjYWoJ4A3JmR1Hg5wIgIpZGRM+I6Jt+PlpIDhh5vcDceufMfokiPhc5TgdeiIiWgrYuZK/3vnQj6YN9ieQopBuLjDWTpIm3neTNcHkRsT5N0pX1PLA4vZ1dRLzBwHNpvGUUcNTBHuJ+liKPPiLZB7AkvS0v9v+QxjwJWJC+3l8ARxQZ7yBgC3B4CXK7ieSLZxlwP3BAkfH+jaToLQFGFrD9h963wJHAHJJWxxyge5HxvpROvwdsAH5VRKyXSfYF7vpcdORoobbiPZL+L54H/hk4uph4u61fTf5HH7WV2/3A0jS3J4DexeYG3Ad8tdD3m4e5MDOzTK13H5mZWQe4KJiZWcZFwczMMi4KZmaWcVEwM7OMi4LVPEmt6aiRyyQ9lJ6Vuk+Q9B+VzsHqi4uC1YN3IuKkiPg4sA34au5KJarysxARRZ0NbdZRVflBMOtE/wYcJ6mvkusw3AUsAvpI+oKkZyQtSlsUhwBIOjsd3//fJd2p9PoS6Vj490iaJ+kPkq7e9SSSfpEO/rc8dwBASW+ng7MtkfSspF7p8l5Krh2wJL2duuvxOdteL+n36eBpN6XLDpb0L+k2yyT91zL8Da2GuShY3UjHhPkiyRmkkIz/Pz3eH1Tvb4HTIxm4bwFwrZIL5Pwj8MWI+DTQuFvYjwFnkoxZ8+10PCuA8RExDGgGrpZ0ZLr8YJKhsIcAvwH+Jl1+J/B0unwoyZnfubl/ARiQPs9JwLB0UMGzgNciYkjaEppV+F/IzEXB6sOB6ZDiC0jGJro7Xf5qRDybTg8HTgR+mz52LPCXJF/6f4iIV9LH7T7u0L9ExHsRsZlkULle6fKrJS0huR5AH5IvdEi6r3ZdyW4h0Ded/jzJiJlEMkDaH3d7ni+kt+dIWjYfS2MuBU6X9H1Jf9XGdmYd0rXSCZiVwTuRDCmeScaq48+5i0iuQXHRbo87eS+x38uZbgW6SvosyaBkp0TEVknzgF2X5Nwe748t00r+n0EBfx8R//ihFdIwkjG+/l7S7Ij4bp4xzT7ELQWzxLPACEnHQTJuvqSPkgxs1z+9EBJAPn32hwNvpgXhYyStkL2ZA1yZPncXJVeXy/UrYHzOfo6jJfVUcr3hrRHxM5KL+5RiCHGrY24pmAERsUnSOGCmpAPSxX8bES9J+u/ALEmbgfl5hJsFfFXS88CLJAVnbyYBUyVdTtKCuBJ4Jie/2ZJOAJ5JWzlvAxcDxwFTJO0kGS3zyjyey2yPPEqq2V5IOiQi3k6vj/BjYFVE3F7pvMw6g7uPzPbub9Kdz8tJuoY+1K9vVivcUjAzs4xbCmZmlnFRMDOzjIuCmZllXBTMzCzjomBmZpn/D9Mtynrf1AXUAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x='Pregnancies', hue='Outcome',data=train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "怀孕次数和是否得病好像还真有关系"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 血浆葡萄糖浓度Glucose"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of occurrences')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(train['Glucose'], kde = False)\n",
    "plt.xlabel('Glucose')\n",
    "plt.ylabel('Number of occurrences')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Glucose')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x='Outcome', y='Glucose', data=train, hue='Outcome')\n",
    "plt.xlabel('Diabetes', fontsize=12)\n",
    "plt.ylabel('Glucose', fontsize=12)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 舒张压（血压）BloodPressure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Frequency')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(train['BloodPressure'], kde = False)\n",
    "plt.xlabel('Blood_Pressure')\n",
    "plt.ylabel('Frequency')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "血压为0属于异常情况，后续可进行处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x='Outcome', y='BloodPressure', data=train, hue='Outcome')\n",
    "plt.xlabel('Outcome', fontsize=12)\n",
    "plt.ylabel('Blood_Pressure', fontsize=12)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 三头肌皮褶厚度SkinThickness"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Frequency')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(train['SkinThickness'], kde = False)\n",
    "plt.xlabel('SkinThickness')\n",
    "plt.ylabel('Frequency')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'SkinThickness')"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x='Outcome', y='SkinThickness', data=train, hue='Outcome')\n",
    "plt.xlabel('Outcome', fontsize=12)\n",
    "plt.ylabel('SkinThickness', fontsize=12)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 餐后血清胰岛素Insulin"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Frequency')"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(train['Insulin'], kde = False)\n",
    "plt.xlabel('Insulin')\n",
    "plt.ylabel('Frequency')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x='Outcome', y='Insulin', data=train, hue='Outcome')\n",
    "plt.xlabel('Outcome', fontsize=12)\n",
    "plt.ylabel('Insulin', fontsize=12)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 体重指数BMI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Frequency')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(train['BMI'], kde = False)\n",
    "plt.xlabel('BMI')\n",
    "plt.ylabel('Frequency')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'BMI')"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x='Outcome', y='BMI', data=train, hue='Outcome')\n",
    "plt.xlabel('Outcome', fontsize=12)\n",
    "plt.ylabel('BMI', fontsize=12)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "BMI=0？可后续处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x21c49a77dc8>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "BMIDF = train.groupby(['BMI', 'Outcome'])['BMI'].count().unstack('Outcome').fillna(0)\n",
    "BMIDF[[0,1]].plot(kind='bar', stacked=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 糖尿病家系作用DiabetesPedigreeFunction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Frequency')"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(train['DiabetesPedigreeFunction'], kde = False)\n",
    "plt.xlabel('DiabetesPedigreeFunction')\n",
    "plt.ylabel('Frequency')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x21c46db5d48>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "DF = train.groupby(['DiabetesPedigreeFunction', 'Outcome'])['DiabetesPedigreeFunction'].count().unstack('Outcome').fillna(0)\n",
    "DF[[0,1]].plot(kind='bar', stacked=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 年龄Age"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Frequency')"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(train['Age'], kde = False)\n",
    "plt.xlabel('Age')\n",
    "plt.ylabel('Frequency')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x21c47fa7888>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "DF = train.groupby(['Age', 'Outcome'])['Age'].count().unstack('Outcome').fillna(0)\n",
    "DF[[0,1]].plot(kind='bar', stacked=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 特征之间的相关性"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x21c4914c448>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x648 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_corr = train.corr().abs()\n",
    "\n",
    "plt.subplots(figsize=(13, 9))\n",
    "sns.heatmap(data_corr,annot=True)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
